自定义全文索引存储在Cassandra中 [英] Custom full-text index stored in Cassandra

问题描述

我有一种情况，我使用Cassandra的数据库，我需要全文搜索功能。
现在我知道Apache Solr，Apache Cassandra和DSE搜索。

但是，我不想使用昂贵的专有软件搜索）。我不想使用Apache Solr的原因是因为我不想处理HA，分片和冗余。 Cassandra是完美的HA，分片和冗余;我想在现有的Cassandra DB中存储我的全文索引。

所以我要找的是将一个字符串分解为可索引部分。例如：

字符串input =我喜欢苹果和bannanas;

  String tokens [] = makeTokenIndex（input）; 
 
 // tokens = {I，like，apples，bannanas，apple，bannana} 
  pre> 
 
 
  
显然我可以在空格上分割字符串，并使用单词作为索引键。但我正在寻找比这更聪明的东西。可以处理复数，找到单词的根等等... 
 
 
 
修改Apache Lucene是最好的解决方案，还是有另一个选项？ / p> 
 
解决方案
我没有使用Cassandra，但我想你说的是使用一个Cassandra实现Lucene的目录界面。 Lucene使用目录与存储机制交互。 
 
 
 
我发现了几个可能有帮助的项目：
 
 
 
 
 
  lucene-on-cassandra  
 
 
  Solandra  
 
 
 
 
 
我不能说出任何一个的经验。
 
I've got a situation where I'm using Cassandra for DB and I need full-text search capability.
Now I'm aware of Apache Solr, Apache Cassandra, and DSE search.

However, I do not want to use a costly and proprietary software(DSE search).  The reason I do not want to use Apache Solr is because I don't want to deal with HA, sharding, and redundency for it.  Cassandra is perfect for HA, sharding, and redundency; I would like to store my full-text index in the existing Cassandra DB.

So what I'm looking for is something that will break down a string into its indexable parts.  For example:

String input = "I like apples and bannanas.";
String tokens[] = makeTokenIndex(input);

//tokens = {"I","like","apples","bannanas","apple","bannana"}

Obviously I could split strings on spaces and use the words as index-keys.  But I'm looking for something smarter than that.  Something that can handle plurals, find the root of a word, etc...

Would modifying Apache Lucene be the best solution for this, or is there another option?
解决方案
I've not used Cassandra, but I think you're talking about using a Cassandra implementation of Lucene's Directory interface. Lucene uses a Directory to interact with a storage mechanism. 

I found a couple of projects that might help:


lucene-on-cassandra
Solandra


I can't speak with experience about either one, though.

                        
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